Triple
T28441802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Sudden Move |
E715730
|
entity |
| Predicate | editorPseudonymUsed |
P3799
|
FINISHED |
| Object | Mary Ann Bernard |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mary Ann Bernard | Statement: [No Sudden Move, editorPseudonymUsed, Mary Ann Bernard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorPseudonymUsed Context triple: [No Sudden Move, editorPseudonymUsed, Mary Ann Bernard]
-
A.
usedPseudonym
chosen
Indicates that an entity performed an action or participated in a context under a name that was not their real or primary identity.
-
B.
pseudonymCoinedBy
Indicates that a particular pseudonym was created or invented by a specific agent or source.
-
C.
revealedAsPseudonymIn
Indicates that one identity or name is disclosed or recognized as a pseudonym within a particular context, work, or source.
-
D.
pseudonymOfWriter
Indicates that one entity is a pseudonym used by a writer who is represented by the other entity.
-
E.
replacedByPenName
Indicates that an entity’s original name has been superseded or substituted by a pen name used by that entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 1:46 a.m.